PapersFlow Research Brief
Piezoelectric Actuators and Control
Research Guide
What is Piezoelectric Actuators and Control?
Piezoelectric actuators and control is the field focused on modeling, identification, and control of hysteresis and creep in nanopositioning systems using piezoelectric actuators and flexure-based mechanisms for precise high-speed micro/nanomanipulation.
This field encompasses 19,436 works addressing challenges in feedback control strategies and smart actuators for precise positioning. Research targets hysteresis compensation and creep compensation in piezoelectric systems. Growth data over the past five years is not available.
Topic Hierarchy
Research Sub-Topics
Hysteresis Modeling in Piezoelectric Actuators
This sub-topic covers phenomenological models like Preisach, Prandtl-Ishlinskii, and generalized play operators for characterizing piezo hysteresis. Researchers validate models across frequencies and develop parameter identification techniques.
Hysteresis Compensation Control
This sub-topic focuses on inverse compensation, charge drive, and hybrid control strategies to linearize piezoelectric responses. Researchers integrate model-based compensators with feedback for robust tracking performance.
Creep Compensation in Nanopositioners
This sub-topic examines drift mechanisms in piezo-stack actuators and viscoelastic creep models for long-duration positioning. Researchers develop real-time compensation filters and preload optimization strategies.
Flexure-Based Piezoelectric Mechanisms
This sub-topic studies monolithic flexure designs, stiffness modeling, and parasitic error minimization for piezo nanopositioners. Researchers employ topology optimization and FEA for multi-DOF stroke maximization.
Feedback Control for Nanopositioning
This sub-topic addresses PID, H-infinity, sliding mode, and observer-based controllers enhanced by sensors like interferometers and capacitive probes. Researchers tackle bandwidth limitations and unmodeled dynamics.
Why It Matters
Piezoelectric actuators and control enable high-speed micro/nanomanipulation essential for nanotechnology applications such as imaging, measuring, modeling, and manipulation at dimensions of 100 nm or less. Devasia et al. (2007) in "A Survey of Control Issues in Nanopositioning" highlight control strategies for piezoelectric actuators in nanopositioning, which support precise positioning in scanning probe microscopy and atomic force microscopy, with feedback control addressing hysteresis for sub-nanometer accuracy. Uchino (1996) in "Piezoelectric Actuators and Ultrasonic Motors" details actuator designs used in real-world devices for vibration control and precise motion in optics and semiconductors, demonstrating reliability in systems requiring fast response times under 1 ms.
Reading Guide
Where to Start
"A Survey of Control Issues in Nanopositioning" by Devasia et al. (2007) as it provides a comprehensive overview of control challenges in piezoelectric nanopositioning systems suitable for building foundational knowledge.
Key Papers Explained
Devasia et al. (2007) in "A Survey of Control Issues in Nanopositioning" establishes core control problems including hysteresis in piezoelectric actuators (1043 citations). Uchino (1996) in "Piezoelectric Actuators and Ultrasonic Motors" details actuator fundamentals (1380 citations), which Mayergoyz (1986) in "Mathematical models of hysteresis" models mathematically (1142 citations) to enable compensation strategies. Sigmund (1997) in "On the Design of Compliant Mechanisms Using Topology Optimization" connects to flexure mechanisms (1356 citations), building toward integrated smart systems.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Current frontiers emphasize robust control for uncertain hysteresis in flexure-piezoelectric systems, as implied by high-citation works like Devasia et al. (2007). No recent preprints or news available indicate focus remains on refining established feedback and modeling from 1980s-2000s papers.
Papers at a Glance
| # | Paper | Year | Venue | Citations | Open Access |
|---|---|---|---|---|---|
| 1 | Singularity analysis of closed-loop kinematic chains | 1990 | IEEE Transactions on R... | 1.7K | ✕ |
| 2 | On projection methods, convergence and robust formulations in ... | 2010 | Structural and Multidi... | 1.7K | ✕ |
| 3 | International archives of photogrammetry and remote sensing | 1989 | ISPRS Journal of Photo... | 1.6K | ✕ |
| 4 | Piezoelectric Actuators and Ultrasonic Motors | 1996 | — | 1.4K | ✕ |
| 5 | On the Design of Compliant Mechanisms Using Topology Optimizat... | 1997 | Mechanics of Structure... | 1.4K | ✕ |
| 6 | Topology optimization of non-linear elastic structures and com... | 2001 | Computer Methods in Ap... | 1.3K | ✕ |
| 7 | A Relation Between Pointwise Convergence of Functions and Conv... | 1983 | Proceedings of the Ame... | 1.2K | ✕ |
| 8 | Mathematical models of hysteresis | 1986 | IEEE Transactions on M... | 1.1K | ✕ |
| 9 | A Survey of Control Issues in Nanopositioning | 2007 | IEEE Transactions on C... | 1.0K | ✕ |
| 10 | A critical review of established methods of structural topolog... | 2008 | Structural and Multidi... | 1.0K | ✕ |
Frequently Asked Questions
What are the main challenges in piezoelectric actuators?
Hysteresis and creep in piezoelectric actuators cause positioning errors in nanopositioning systems. Feedback control strategies compensate for these nonlinearities to achieve precise motion. Mayergoyz (1986) in "Mathematical models of hysteresis" provides models representing these effects using the scalar Preisach model.
How is hysteresis compensated in nanopositioning?
Hysteresis compensation relies on modeling and feedback control in piezoelectric systems. Devasia et al. (2007) in "A Survey of Control Issues in Nanopositioning" survey methods for controlling matter at 100 nm scales using piezoelectric actuators. These approaches ensure high precision in micro/nanomanipulation tasks.
What role do flexure-based mechanisms play?
Flexure-based mechanisms integrate with piezoelectric actuators for frictionless precise positioning. They support nanopositioning in smart actuators by enabling high-speed motion. The field uses these for feedback control in hysteresis-affected systems.
What are key methods for modeling hysteresis?
Mathematical models like the scalar Preisach model represent hysteresis nonlinearities in actuators. Mayergoyz (1986) in "Mathematical models of hysteresis" gives necessary and sufficient conditions for such representations. These models aid control design in piezoelectric nanopositioning.
What applications use piezoelectric actuators?
Piezoelectric actuators serve in ultrasonic motors and precise positioning systems. Uchino (1996) in "Piezoelectric Actuators and Ultrasonic Motors" covers their use in high-speed manipulation. They apply in nanotechnology for sub-100 nm control.
What is the current state of research?
Research totals 19,436 works on piezoelectric actuators and control, focusing on hysteresis and creep compensation. Devasia et al. (2007) provide a survey of control issues with 1043 citations. No recent preprints or news coverage indicate steady established progress.
Open Research Questions
- ? How can real-time adaptive control fully eliminate dynamic hysteresis effects in high-speed piezoelectric nanopositioning?
- ? What identification methods best capture coupled hysteresis and creep in flexure-based smart actuators?
- ? Which feedback strategies optimize precision and speed limits in micro/nanomanipulation under uncertainty?
- ? How do compliant mechanisms integrate with piezoelectric control for enhanced singularity-free operation?
- ? What robust formulations extend topology optimization to nonlinear piezoelectric structures?
Recent Trends
The field maintains 19,436 works with no specified 5-year growth rate, reflecting sustained interest in hysteresis modeling and control.
Devasia et al. remains influential with 1043 citations on nanopositioning control.
2007No recent preprints or news coverage reported in the last 12 months.
Research Piezoelectric Actuators and Control with AI
PapersFlow provides specialized AI tools for Engineering researchers. Here are the most relevant for this topic:
AI Literature Review
Automate paper discovery and synthesis across 474M+ papers
Paper Summarizer
Get structured summaries of any paper in seconds
Code & Data Discovery
Find datasets, code repositories, and computational tools
AI Academic Writing
Write research papers with AI assistance and LaTeX support
See how researchers in Engineering use PapersFlow
Field-specific workflows, example queries, and use cases.
Start Researching Piezoelectric Actuators and Control with AI
Search 474M+ papers, run AI-powered literature reviews, and write with integrated citations — all in one workspace.
See how PapersFlow works for Engineering researchers